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Reversible data hiding in dual stego-images using frequency-based encoding strategy

机译:使用基于频率的编码策略隐藏在双隐身图像中的可逆数据

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摘要

Reversible data hiding methods can embed secret data into multimedia to prevent attacks from hackers. Reversible data hiding methods based on multiple stego-images have been proposed extensively in recent years. This type of method can embed large amounts of secret bits into several stego-images. However, data embedding may cause serious distortion of stego-images. To solve this problem, Lu et al. proposed a center-folding strategy to reduce secret digits to narrow down the distance between the original pixel and the stego pixel in 2015. Although the center-folding strategy works well, it can still be improved. In their proposed scheme, the maximum secret digit seriously damages the image quality of the stego-image. If the maximum secret digit occurs often, then the visual quality of the stego-image decreases quickly. In this paper, we propose a frequency-based encoding method to solve this problem. The secret digit that occurs most frequently is encoded as the minimum absolute digit, thereby decreasing the frequency and level of modification. Experimental results showed that the proposed method can achieve a greater peak signal-to-noise ratio value than previous methods, thereby confirming that the proposed method is effective.
机译:可逆的数据隐藏方法可以将机密数据嵌入多媒体中,以防止受到黑客的攻击。近年来,广泛提出了基于多个隐秘图像的可逆数据隐藏方法。这种类型的方法可以将大量的秘密位嵌入到多个隐秘图像中。但是,数据嵌入可能会导致隐身图像严重变形。为了解决这个问题,Lu等。提出了一种中心折叠策略,以在2015年减少秘密数字以缩小原始像素与隐身像素之间的距离。尽管中心折叠策略效果很好,但仍可以改进。在他们提出的方案中,最大秘密数字严重损害了隐身图像的图像质量。如果经常出现最大秘密数字,则隐身图像的视觉质量会迅速下降。在本文中,我们提出了一种基于频率的编码方法来解决此问题。最频繁出现的秘密数字被编码为最小绝对数字,从而降低了修改的频率和级别。实验结果表明,所提出的方法能够比以前的方法获得更大的峰值信噪比值,从而证实了所提出的方法是有效的。

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